# signal processing matlab book

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### Code of the book "Digital Image Processing Principles and Practices (MATLAB)" Part4, matlab Digital Image Processing

Code of the book "Digital Image Processing Principles and Practices (MATLAB)" Part4, matlab Digital Image ProcessingThis article is part 4 of the Code series in the book "Digital Image Processing Principles and Practices (

### Code of the book "Digital Image Processing Principles and Practices (MATLAB)" Part6, matlab Digital Image Processing

Code of the book "Digital Image Processing Principles and Practices (MATLAB)" Part6, matlab Digital Image ProcessingThis article is part of the code series "Part6" in the book "Digital Image Processing Principles and Practices (

### [Matlab] Algorithm Craftsman video 1: Digital signalprocessing simulation and realization the first signal source generation and filtering 1, 2

); fir1_band_stop_filter = Fir1 ( N,[WC1 WC2], ' stop '); %ftype%figure (8); Freqz (fir1_band_stop_filter);% Implementation filter FIR1_BS_S1 = filter (fir1_band_stop_filter,1,sin_s); fft_bs_ Filter = FFT (FIR1_BS_S1), figure (9), subplot (2,1,1);p lot (time, fir1_bs_s1), title (' Band filter After filter waveform '); subplot (2,1,2); Danbianfudu = 2*abs (Fft_bs_filter (1:POINT_S/2));p lot (F,danbianfudu), title (' frequency amplitude characteristics after band-stop Filtering ');　　 [

### An interesting book: Embedded SignalProcessing Based on Embedded signal structure

Yesterday, I strolled around the Book City and accidentally found a very interesting book: Embedded Signal Processing Based on Embedded signal structure. First, it attracted attention because the processor involved was the DSP of the Blackfin series, which was rare. But I bo

### MATLAB toolbox for signalprocessing and Pattern Recognition

MATLAB toolbox for signal processing and Pattern RecognitionIf You Do wavelet, ICA, PCA, SVM, kernel and other methods, we hope the following tools will help you. Signal Processing (top)Filter Design with Motorola dsp56kHttp://www.ee.ryerson.ca: 8080 /~ Mzeytin/DFP/index.htm

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### MATLAB Digital SignalProcessing

length of 5, which delays two cycles on the timeline. X = zeros (1, 5) x (2) = 1 Sawtooth-generate sawtooth/triangular wave signals 1. The Sawtooth (t) function generates a sawtooth wave with a period of 2 pi for the time variable t, and the amplitude changes between + 1 and-1. 2. The Sawtooth (T, width) function generates a triangle wave on the time variable t. The width is the scale parameter of the value between 0 and 1, specifying the position of the peak of the sawtooth wave. The function

### "MATLAB" 002 "digital signalprocessing theory, algorithm and implementation" 001_rand

%-----------------------------------------------------------------% Exa011001_rand.m:for Example 1.10.1% to test rand.m and to generate the White noise signal u (n)% with uniform distribution% produces a uniformly distributed random white noise signal and observes the histogram of the data distribution%-----------------------------------------------------------------Clear % clear variables that may be saved

### "Digital image processing principle and practice (MATLAB version)" A book Code PART8

This article is the "Digital image processing principle and practice (MATLAB version)" A Book of code series PART8, the Book of the No. 375 to No. 415 page of the code, for the needs of readers to download research and use. At this point in the book code release is nearing t

### "Digital image processing principle and practice (MATLAB version)" A book Code PART5

"Digital image processing principle and practice (MATLAB version)" A book Code PART5This article is the "Digital image processing principle and practice (MATLAB version)" A book Code series PART5. The code for the No. 225 to No. 2

### "Digital image processing principle and practice (MATLAB version)" A book Code PART7

This article is the "Digital image processing principle and practice (MATLAB version)" A Book of Code series PART7 (due to the previous release order adjustment, readers should note the page callout and not only based on the title number of the series article), the book on the 186th to No. 225 page of the code, for the

### "Digital image processing principle and practice (MATLAB version)" A book Code PART3

This article is the "Digital image processing principle and practice (MATLAB version)" A Book of Code series PART3 (p81~135), code execution results please refer to the original book map, it is recommended to download the code before reading:About the principle and practice of Digital Image

### The FIR filter of audio signal based on FPGA (Matlab+modelsim verification)

1 Design ContentThis design is based on FPGA audio signal fir Low-pass filter, according to requirements, using MATLAB to read WAV audio files and add noise signal, FFT analysis, FIR filter processing, and analysis of the effect of filtering. Through the analysis of MATLAB t

### Digital SignalProcessing Experiment (0)--one-dimensional sound signalprocessing and two-dimensional image processing

I. I/O of sound signal in MATLAB 1, read WAV file function? y = Wavread ('filename'= wavread ('filename' ) = Wavread ('filename' = Wavread ('filename') , [N1 N2]) 2. Write WAV file function? wavwrite (Y,'filename')? Wavwrite (Y,fs,'filename') )? Wavwrite (Y,fs,n,'filename')3. Play sound functionSound (Y,FS), sound (y), Sound (y,fs,bits)Second, the image processing

### Using MATLAB to process digital signal and digital image http://www.netyi.net/training/8e95b0fe-c66c-4d89-9851-f8993d80c9b5

Use MATLAB to process digital signals and Images [Recommendation level] ☆☆☆☆View comments [Downloads] 7 times [Author] Chen guiming and others [Press] Science Press [File format] PDF [ISBN] 7030078489 [Document Language] Simplified Chinese

### Code Part8 and MATLAB Digital Image Processing in digital image processing principles and practices (matlab)

Code Part8 and MATLAB Digital Image Processing in digital image processing principles and practices (matlab)This article is Part 8 of the Code series in the book "Digital Image Processing Principles and Practices (

### Calculation of superposition noise and Snr of "reprint" MATLABsignal

Calculation of superposition noise and signal-to-noise ratio on MATLAB signalsPosted 11 months ago (2014-01-24 18:38) Read (26) | Comments (0)0 People bookmark this article,I want to collectlikes0Open source China team collaboration platform officially opened--http://team.oschina.netSnr in signal processing often need

### Compile the MATLAB program for wavelet signal decomposition and reconstruction

P.s. () thanks to the netizen 'Li Ming yangyan ', he pointed out a major bug in mydwt and myidwt, see the one-dimensional signal wavelet decomposition and reconstruction program published today. P.s.: (last November) a series of articles on Wavelet Transform and image processing were published in, sharing their experiences and programming in the process of learning wavelet. Over the past six months, I have

### Data Reading method and Matlab program of MIT-BIH ECG signal

(20110622: Update download link) I recently wrote a paper on the ECG signal compression algorithm based on wavelet transform. I searched Baidu and professional forums for how to obtain the ECG signal test data, I found many friends worried about it. Now that my thesis has been written, I will write out how to obtain and process the ECG data in my contribution for your reference, saving the trouble of hard w

### "Reprint" MATLAB for speech signal plus random noise and denoising program

MATLAB for speech signal plus random noise and denoising program(2011-01-28 23:26:51)% The original time-domain waveform analysis and spectrum analysis for language signals[Y,fs,bits]=wavread (' C:\Documents and settings\administrator\ desktop \cuocuo.wav ');% Sound (Y,FS)% playback of voice signalsN=length (y)% Select the number of points to transformY_p=fft (Y,n); % Fourier transform to frequency domain f

### MATLABsignal transformation

1. in digital signal processing, basic operations include generation sequence (unit step sequence, unit pulse sequence, sine sequence, exponential sequence, etc.), index sequence, and sine sequence, you only need to enter a simple formula.The Unit Step and unit pulse sequence are easy to understand and understand using logical arrays,If you need to generate delta (n-n0): x = (n = N0), the same step sequence

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