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Search results “Equiripple high pass filter”

13:12
http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. FIR filters with generalized linear phase can have even or odd order and even or odd symmetry, resulting in four different types. Constraints on the frequency response and zero locations are presented for each filter type.
Views: 42826 Barry Van Veen

13:07
Views: 56179 Ekeeda

19:45
Views: 63220 Ekeeda

07:44
Design equiripple lowpass filter using function Remez Matlab Code https://docs.google.com/document/d/1YW2cwCcJNBqKOzqmFRWCBJ5fxAOjWwhHK53z4OTJiWI/edit?usp=sharing ------------------------------------------------------------------------------------------------- Design equiripple bandpass filter using function Remez https://docs.google.com/document/d/1Hd4_66GsEY6hzgg7xqBXVyDfNITdlmgDtTL7yaGq2z8/edit?usp=sharing ------------------------------------------------------------------------------------------------- Design equiripple bandstop filter using function Remez https://docs.google.com/document/d/1dGNGLGVaUx_sYMjUOE9yr4OfW_uAT330jRjyasUOKP4/edit?usp=sharing ------------------------------------------------------------------------------------------------- The FIR filter design, the realization of window function method by Matlab https://youtu.be/eTdW8ZgBmgs ------------------------------------------------------------------------------------------------- The FIR filter design, the realization of frequency sampling method by Matlab https://youtu.be/wxQFxIv2QRk ____________________________________________________________ FIR Filter Design using fir1 function, FREQZ, & FILTER one-dimensional function by Matlab https://youtu.be/H0M6h1BL2rY
Views: 720 Sunshine Man

09:53
Derivation of the Frequency Response of an FIR Filter as the DTFT of the filter coefficients (i.e., the impulse response)
Views: 292 Mateo Aboy

09:10
A fairly demanding highpass filter design is confronted; no code is written. The specification requires a narrow stopband to be achieved by a minimax design. With one interpretation of the passband ripple limits it is found (with a few very cautious evaluation passes) that reducing sizing to 111 coefficients can safely satisfy the spec. With a competing (more relaxed, dB peak-to-peak ripple) interpretation, 73 coefficients do the trick. All this size-squeezing requires DSP savvy,good measurement tools, and a bit of dogged determination.
Views: 59 DSP Creations

08:11
DSP_Speedster is available at http://www.dspcreations.com/dspspeedster1.html Here a maximum-phase digital filter (notoriously resistant to inverse filtering) is invoked. Satisfactory spectral amplitude compensation is achieved by an FIR filter. DSP_Speedster is a Simulink LabKit ; learn more about it and related tools developed by DSP Creations at http://www.dspcreations.com
Views: 113 DSP Creations

04:34
FIR Filter Design using fir1 function, FREQZ, & FILTER one-dimensional function by Matlab https://docs.google.com/document/d/1Yv_qvAubxZ-wNXcAMpVm3mJ1uf8RaYFzd4Lfn8LW2wQ/edit?usp=sharing ________________________________________________________ Hamming window vs Blackman window filter design on matlab https://youtu.be/BT7PtwHFdg0 _____________________________________ The FIR filter design, the realization of window function method by Matlab https://youtu.be/eTdW8ZgBmgs _____________________________________________________ The FIR filter design, the realization of frequency sampling method by Matlab https://youtu.be/wxQFxIv2QRk _______________________________________________________ The FIR filter design, The realization of Optimized Equiripple Method by Matlab https://youtu.be/Mm9zr0uceZo
Views: 2689 Sunshine Man

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Remez filter, applied as a Band Pass, Low-Pass, or High-Pass system, with normalized frequency response and -40dB noise floor.
Views: 1101 nwmoussa

03:31

Views: 872 Feng-Li Lian

04:12
Views: 126 rodrigo brito

27:43
A tutorial on the simulation of a microstrip stub filter in ADS. The video covers how to implement a filter in a circuit simulation, EM simulation of the layout with momentum, and creating a component from the EM results.
Views: 75900 Kyle Davidson

08:21
A video tutorial on constructing high and low pass RC filters and demonstrating how to generate and measure signals using the NI MyDAQ device.
Views: 3869 Labview Project

06:25
1]. Design a lowpass filter using frequency sampling method Matlab Code https://docs.google.com/document/d/12cp3oAeQXSvP91n9kDXGYUJABP_9Aos0b3coo9BpU0k/edit?usp=sharing ------------------------------------------------------------------------------------------------------- 2]. Design a highpass filter using frequency sampling method Matlab Code https://docs.google.com/document/d/11qBVuSsJYhHHgPZG_GPu77gJ0gEvoFyhHykpFACmkV0/edit?usp=sharing ------------------------------------------------------------------------------------------------- The FIR filter design, the realization of window function method by Matlab https://youtu.be/eTdW8ZgBmgs ------------------------------------------------------------------------------ The FIR filter design, The realization of Optimized Equiripple Method by Matlab https://youtu.be/Mm9zr0uceZo ____________________________________________________________ FIR Filter Design using fir1 function, FREQZ, & FILTER one-dimensional function by Matlab https://youtu.be/H0M6h1BL2rY
Views: 2409 Sunshine Man

07:02
Sketch-a-Filt is available at http://www.dspcreations.com/sketch1.html An equiripple FIR filter is designed and then converted to an IIR equivalent. The original linear-phase characteristic is preserved across the passband of the IIR filter, exemplifying the concept of a stable IIR filter with "almost linear phase". Sketch-a-Filt is a multi-featured MATLAB-based filter design tool ; learn more about it and related tools developed by DSP Creations at http://www.dspcreations.com
Views: 363 DSP Creations

02:48
If you have any other question related to electrical engineering.Please write in comment box i will try to make video on it.
Views: 1876 Sanjay Kumar

05:58
Sketch-a-Filt is available at http://www.dspcreations.com/sketch1.html This demo shows how the design of both FIR and IIR filters can be influenced by judicious manipulation of the target profile its frequency response should follow. This is easy to do by simple sketch modifications within the particular graphic tool in use. Learn more about Sketch-a-Filt, a versatile MATLAB-based filter design tool available from DSP Creations, at http://www.dspcreations.com/sketch1.html
Views: 121 DSP Creations

23:10
This video shows how to use the MATLAB/Octave signal processing function fir1 to design FIR filters to meet specified frequency responses (lowpass, highpass, etc and a given cutoff frequency)
Views: 4070 Mateo Aboy

54:04
Multistage filter design

17:20
This video is a step by step walk-through of how to create a basic filter for signal processing (double Butterworth filter) in LabVIEW. The intended use is for undergraduate biomechanics labs at the University of Victoria.
Views: 55332 Uvic Biomechanics

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Comparison of stop band performance of stock and custom high attenuation filters for the Soekris DAM1021. Filters coefficients were applied to a short music sample using SoX to illustrate the behaviour of the stop band. Static filter response plots don't capture the way the stop band behaves whilst filtering audio.
Views: 302 OffTrackTd5

05:01
We were simulate circuit for get bandwidth (frequency range of band pass filter) by using OrCAD 9.2 Software and we were proved it by using theoretical value by calculating capacitor values to confirm frequency range theoretically *Blog Article : https://laahirufernando.blogspot.com/
Views: 1075 LaaHiru Chathuranga

16:55
Design a discrete-time Butterworth low-pass filter using a continuous-time Butterworth filter transfer function and the bilinear transform. ** See the full collection of problems and tutorials at http://www.rose-hulman.edu/~doering/ece380_tutorials_and_problems.pdf **
Views: 24736 Rose-Hulman Online

09:51
This paper proposes an efficient constantmultiplier architecture based on vertical-horizontal binary common sub-expression elimination (VHBCSE) algorithm for designing a reconfigurable finite impulse response (FIR) filter whose coefficients can dynamically change in real time. To design an efficient reconfigurable FIR filter, according to the proposed VHBCSE algorithm, 2-bit binary common sub-expression elimination (BCSE) algorithm has been applied vertically across adjacent coefficients on the 2-D space of the coefficient matrix initially, followed by applying variable-bit BCSE algorithm horizontally within each coefficient. This technique is capable of reducing the average probability of use or the switching activity of the multiplier block adders by 6.2% and 19.6% as compared to that of two existing 2-bit and 3-bit BCSE algorithms respectively. ASIC implementation results of FIR filters using this multiplier show that the proposed VHBCSE algorithm is also successful in reducing the average power consumption by 32% and 52% along with an improvement in the area power product (APP) by 25% and 66% comparedto those of the 2-bit and 3-bit BCSE algorithms respectively. As regardsthe implementation of FIR filter, improvements of 13% and 28% in area delay product (ADP) and 76.1% and 77.8% in power delay product (PDP) for the proposed VHBCSE algorithm have been achieved over those of the earlier multiple constant multiplication (MCM) algorithms, viz. faithfully roundedtruncated multiple constant multiplication/accumulation (MCMAT) and multi-root binary partition graph (MBPG) respectively. Efficiency shown by the results of comparing the FPGA and ASIC implementations of the reconfigurable FIR filter designed using VHBCSE algorithm based constant multiplier establishes the suitability of the proposed algorithm for efficient fixed point reconfigurable FIR filter synthesis.

04:56
DSP_Speedster is available at http://www.dspcreations.com/dspspeedster1.html This demo shows how to construct and run a model for exhibiting the frequency response of an IIR digital filter. Time truncation efffects in frequency response degradation are observed. DSP_Speedster is a Simulink LabKit ; learn more about it and related tools developed by DSP Creations at http://www.dspcreations.com
Views: 407 DSP Creations

03:18
The filter is designed in canonic signed digit space but in the design we approached "Frequency Response Masking FIR filters with sum-of-powers-of-two coefficients as a discrete Artificial Bee Colony problem". The algorithm to be used is Discrete ABC (word length of filter coefficients - 14 bits with 12 fractional bits) and not the continuous.This project is designed based on the below mentioned reference paper Abstract, Frequency response masking(FRM)technique along with the Canonic Signed Digit (CSD) representation is a good alternative for the design of a computationally efficient, sharp transition width, high speed finite impulse response(FIR) filter. This paper proposes two novel approaches for the joint optimization of an FRM FIR digital filter in the CSD space. The first approach uses the recently emerged Artificial Bee Colony (ABC) algorithm and the second approach uses the Differential Evolution(DE) algorithm. In this paper, both the algorithms are modified in such a way that, they are suitable for the solution of the optimization problem posed, in which the search space consists of integers and the objective function is nonlinear. The optimization variables are encoded such that they permit the reduction in computational cost. The salient feature of the above approaches is the reduced computational complexity while obtaining good performance. Simulation results show that the ABC based design technique performs better than that using DE, which in turn out performs the one using integer coded genetic algorithm(GA). The proposed optimization approaches can be extended to the solution of integer programming problems in other engineering disciplines also.
Views: 424 VERILOG COURSE TEAM

32:21
Lecture 22 : Microwave Filters - II: Low Pass Chebyshev Filters
Views: 1923 IIT Bombay July 2018

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00:38 Fs=8000; %Specify Sampling Frequency Ts=1/Fs; %Sampling period. Ns=512; %Nr of time samples to be plotted. t=[0:Ts:Ts*(Ns-1)]; %Make time array that contains Ns elements %t = [0, Ts, 2Ts, 3Ts,..., (Ns-1)Ts] f1=500; f2=1500; f3=2000; f4=3000; x1=sin(2*pi*f1*t); %create sampled sinusoids at different frequencies x2=sin(2*pi*f2*t); x3=sin(2*pi*f3*t); x4=sin(2*pi*f4*t); x=x1+x2+x3+x4; %Calculate samples for a 4-tone input signal %N=16; %FIR1 requires filter order (N) to be EVEN %when gain = 1 at Fs/2. %W=[0.4 0.6]; %Specify Bandstop filter with stop band between %0.4*(Fs/2) and 0.6*(Fs/2) %B=FIR1(N,W,'DC-1'); %Design FIR Filter disp('Please specify the filter type'); FilterType={'low','high','bandpass','stop'}; disp('Here is the filter option:'); disp('1: Low Pass Filter '); disp('2: High Pass Filter'); disp('3: Band Pass Filter'); disp('4: Band Stop Filter'); disp('You only need enter number. EX. 4 means Band Stop filter') FilterOption=input('FilterOption='); while FilterOption ~=1 && FilterOption ~=2 && FilterOption ~=3 && FilterOption ~=4 disp('You only need enter number : 1,2,3 or 4. EX. 4 means Band Stop filter'); FilterOption=input('FilterOption='); end userFilterType=FilterType{FilterOption}; disp('Enter the order of the filter(Must be a positive even number, should be less than 100'); FilterOrder=input('FilterOrder='); str=sprintf('Here is all the frequency infromation in this experiment:Fs=%d; f1=%d; f2=%d; f3=%d; f4=%d;',Fs,f1,f2,f3,f4); disp(str); if FilterOption==1 disp('Enter the Edge Freq. in Hz. Note: the value should be within 0~Fs');W=input('omega='); elseif FilterOption==2 disp('Enter the Edge Freq. in Hz. Note: the value should be within 0~Fs');W=input('omega='); elseif FilterOption==3 disp('Enter the Edge Freq. in Hz. Note: the value should be within 0~Fs');W=input('omega cutoff1=');W2=input('omega cutoff2='); W=[W W2]; elseif FilterOption==4 disp('Enter the Edge Freq. in Hz. Note: the value should be within 0~Fs');W=input('omega cutoff1=');W2=input('omega cutoff2='); W=[W W2]; end %Fs, W, W=W./(Fs/2); % [1600 2400] N=FilterOrder; Window_Option={'hamming','rectwin'}; disp('Here is the Windowing option:'); disp('1: hamming'); disp('2: rectwin'); WindowOption=input('WindowOption='); while WindowOption ~=1 && WindowOption ~=2 disp('You only need enter number : 1 or 2 means rectwin'); WindowOption=input('WindowOption='); end %WindowOption='rectwin'; switch Window_Option{WindowOption} case 'hamming' userWindow=hamming(N+1); case 'rectwin' userWindow=rectwin(N+1); otherwise disp('Wrong windowing option. EXIT'); eixt end %B=FIR1(N,W,'bandpass',userWindow); %Design FIR Filter B=fir1(N,W,userFilterType,userWindow); %Design FIR Filter %B %Leaving off semi-colon causes contents of %B (the FIR coefficients) to be displayed. A=1; %FIR filters have no poles, only zeros. figure; zerophase(B,A); disp('Checking the Zero-Phase Response of the designed filter, enter any key to continue'); pause; figure; %Create a new figure window, so previous one isn't lost. freqz(B,A); %Plot frequency response - both amp and phase response. disp('Checking the Freq. Response of the designed filter, enter any key to continue'); pause; figure; subplot(2,1,1); %Two subplots will go on this figure window. Npts=200; plot(t(1:Npts),x(1:Npts)) %Plot first Npts of this 4-tone input signal title('Time Plots of Input and Output'); xlabel('time (s)'); ylabel('Input Sig'); %Now apply this filter to our 4-tone test sequence y = filter(B,A,x); subplot(2,1,2); %Now go to bottom subplot. plot(t(1:Npts),y(1:Npts)); %Plot first Npts of filtered signal. xlabel('time (s)'); ylabel('Filtered Sig'); disp('Checking the Filtering Effect of the designed filter in time domain, enter any key to continue'); pause; figure; %Create a new figure window, so previous one isn't lost. subplot(2,1,1); xfftmag=(abs(fft(x,Ns))); %Compute spectrum of input signal. xfftmagh=xfftmag(1:length(xfftmag)/2); f=[1:1:length(xfftmagh)]*Fs/Ns; %Make freq array that varies from %0 Hz to Fs/2 Hz. plot(f,xfftmagh); %Plot frequency spectrum of input signal title('Input and Output Spectra'); xlabel('freq (Hz)'); ylabel('Input Spectrum'); subplot(2,1,2); yfftmag=(abs(fft(y,Ns))); yfftmagh=yfftmag(1:length(yfftmag)/2); %Plot only the first half of FFT, since second half is mirror image %the first half represents the useful range of frequencies from %0 to Fs/2, the Nyquist sampling limit. plot(f,yfftmagh); xlabel('freq (Hz)'); ylabel('Filtered Signal Spectrum');

02:30
Sketch-a-Filt is available at http://www.dspcreations.com/sketch1.html Here the tradeoffs among band ripples and transition widths in digital filter designs are treated. Three styles of FIR design (Frequency-Sampling, Impulse-Invariant, and Remez), are examined since these furnish extremes for contrasting quality metrics. Sketch-a-Filt is a multi-featured MATLAB-based filter design tool ; learn more about it and related tools developed by DSP Creations at http://www.dspcreations.com
Views: 395 DSP Creations

00:54
we were able to implement a lowpass FIR equiripple filter on FPGA. We've used spartan 3e. We calculated the filter coefficient form matlab and implemented it on FPGA using VHDL.
Views: 3744 Sujit R.Chhetri

03:17
We are providing an IEEE projects solutions & Implementation with in short time. If anyone need a Project Details like Source Code & Documentation Please Contact us Mail: [email protected] Phone: 09842339884, 9688177392

21:19
Fractional sampling rate alterations

08:01
1] Design a lowpass filter using the window function method Using Hamming window Matlab code https://docs.google.com/document/d/1slEfahIxYxaZv5a0kjftd5rLSQoh1sDJshyYtnsxnjw/edit?usp=sharing 2] Design a bandpass filter using the window function method Using the Kaiser window Matlab Code https://docs.google.com/document/d/1PUJiXzIUiVYo7VbMmGSkmPMIyx0p4z3KOzA4CMQa7P8/edit?usp=sharing 3] Design a multi-passband filter using the window function method Using the Kaiser window Matlab Code https://docs.google.com/document/d/1bWJfp4nzhFwwsaUYiMyCdbJlzzSjohfZ7lTIyslGGPU/edit?usp=sharing ----------------------------------------------------------------------------------------------- The FIR filter design, the realization of frequency sampling method by Matlab https://youtu.be/wxQFxIv2QRk ____________________________________________ The FIR filter design, The realization of Optimized Equiripple Method by Matlab https://youtu.be/Mm9zr0uceZo ____________________________________________________________ FIR Filter Design using fir1 function, FREQZ, & FILTER one-dimensional function by Matlab https://youtu.be/H0M6h1BL2rY
Views: 2944 Sunshine Man

16:49
Views: 2067 Technolite

04:45

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Views: 46 takeoff edu

03:47
Views: 109 snega thirukumaran

11:27
To download the project files referred to in this video visit: http://www.keysight.com/find/eesof-how-to-design-custom-rfmw-filters Unlike traditional RF, Microwave and Analog filter designs that start from a template response and topology, such as Chebyshev and Butterworth, this custom filter design technique is based on Direct or Exact Synthesis in which the filter response is first shaped and customized to meet specifications before a suitable topology is extracted and transformed for the most economical realization.
Views: 8638 Keysight EEsof EDA

21:35
Filter design is the process of designing a signal processing filter that satisfies a set of requirements, some of which are contradictory. The purpose is to find a realization of the filter that meets each of the requirements to a sufficient degree to make it useful. The filter design process can be described as an optimization problem where each requirement contributes to an error function which should be minimized. Certain parts of the design process can be automated, but normally an experienced electrical engineer is needed to get a good result. This video is targeted to blind users. Attribution: Article text available under CC-BY-SA Creative Commons image source in video
Views: 297 Audiopedia

59:28
Lecture Series on Digital Signal Processing by Prof.T.K.Basu, Department of Electrical Engineering, IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 42258 nptelhrd

00:09
Views: 133 Tyler Wong

38:27
Lecture 17: Design of FIR digital filters Instructor: Alan V. Oppenheim View the complete course: http://ocw.mit.edu/RES6-008S11 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 16812 MIT OpenCourseWare

03:00
Views: 184 Boubacar Diallo

19:52
A lecture on the implementation of the RM software for synthesis of low-pass prototype filters exhibiting equi-ripple approximation of constant group delay.
Views: 88 Vančo Litovski

00:25
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01:34
Optimal Factoring of FIR Filters using FPGA,2015 VLSI Project Training Contact: IIS TECHNOLOGIES ph:9952077540,landline:044 42637391 mail:[email protected] www.iistechnologies.in
Views: 49 IIS Technologies

05:47
Views: 409 alexjohnnyfreire

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Long useless new works, this is music + LED flash by Jeff hu
Views: 516 humthunter

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What does passband mean? A spoken definition of passband. Intro Sound: Typewriter - Tamskp Licensed under CC:BA 3.0 Outro Music: Groove Groove - Kevin MacLeod (incompetech.com) Licensed under CC:BA 3.0 Intro/Outro Photo: The best days are not planned - Marcus Hansson Licensed under CC-BY-2.0 Book Image: Open Book template PSD - DougitDesign Licensed under CC:BA 3.0 Text derived from: http://en.wiktionary.org/wiki/passband Text to Speech powered by TTS-API.COM