The following Matlab project contains the source code and Matlab examples used for this program plots spectrograms (intensities versus frequencies, plotted against time). . This program plots spectrograms (vertical slices of intensities versus frequencies, with slices plotted against time).

The following Matlab project contains the source code and Matlab examples used for identification of protein coding regions using the modified gabor-wavelet transform. . MGWT: Identification of protein coding regions using the Modified Gabor-wavelet transform.

The following Matlab project contains the source code and Matlab examples used for spectrogram scope. SPECGRAMSCOPE makes it fairly easy to include a spectrogram scope in your real-time data acquisition and analysis application.

The following Matlab project contains the source code and Matlab examples used for wavelet based ms coherence estimator. This function estimates and plots a wavelet-based magnitude-squared (MS) coherence between two time series and both sampled at the same sampling rate.

The following Matlab project contains the source code and Matlab examples used for wavelets and fractals where the 2 techniques meet. Wavelet discrete transform based on Haar wavelet serves as a link between wavelet technique of data compression and fractal technique based on the system of contractive linear transforms.

The following Matlab project contains the source code and Matlab examples used for a wavelet domain non parametric statistical approach for image denoising. This is a demo program of the paper J. Tian, L. Chen and L. Ma, "A wavelet-domain non-parametric statistical approach for image denoising," IEICE Electronics Express, Vol. 7, Sep. 2010, pp. 1409-1415.

The following Matlab project contains the source code and Matlab examples used for image despeckling using a non parametric statistical model of wavelet coefficients. This is a demo program of the paper J. Tian and L. Chen, "Image despeckling using a non-parametric statistical model of wavelet coefficients," Biomedical Signal Processing and Control, Vol. 6, No. 4, Oct. 2011, pp. 432-437.

The following Matlab project contains the source code and Matlab examples used for wavelet packet functions. These two functions are used to convert the wavelet packet tree into array of record (i.e. each location in the array is a sub-matrix)... These two function will help the pogrammers for process the sub-images easily...

The following Matlab project contains the source code and Matlab examples used for wavelet based image zooming. Wavelet based square image enlargemant (zooming in). Zooming is performed by employing the idwt2() MATLAB function, with a wavelet family determined by 'wname'. The size and quality of the final zoomed image 'output_image' depends on

The following Matlab project contains the source code and Matlab examples used for bistatic ambiguity function. function varargout=bisambfun(u,r,fs,cut) %% Bistatic ambiguity function(u,r,fs,cut) % % This function aims to calculate the values of the bistatic ambiguity % function of the signals u (the signal measured) and r (the reference % signal), sampled to the fs frequency.

The following Matlab project contains the source code and Matlab examples used for shows spectrogram of the speech . shows spectrogram of the speech with colormap (jet).

The following Matlab project contains the source code and Matlab examples used for adaptive multi focus image fusion using a wavelet based statistical sharpness measure. This is a demo program of the paper J. Tian and L. Chen “Adaptive multi-focus image fusion using a wavelet-based statistical sharpness measure,” Signal Processing, Vol. 92, No. 9, Sep. 2012, pp. 2137-2146.

The following Matlab project contains the source code and Matlab examples used for beta wavelets. New continuous wavelets of compact support are introduced, which are related to beta distribution.

The following Matlab project contains the source code and Matlab examples used for deoliveira wavelets. Wavelets and an Orthogonal Multiresolution Analysis Based on the Nyquist Criterion.

The following Matlab project contains the source code and Matlab examples used for for signal processing fractional fourier transform matlab source code. members wish to be useful . Fractional Fourier transform, chirp signal decomposition-type realization of fractional Fourier transform

The following Matlab project contains the source code and Matlab examples used for wavelet denoising of vaginal pulse amplitude. Uses an automated wavelet algorithm to remove noise components (saving previously artifact-impacted data) from the vaginal pulse amplitude signal.

The following Matlab project contains the source code and Matlab examples used for wavelet coefficient display. [c,s]=wavedet2(image); shahhussain(c,s) it then display Approximation,Horizontal,vertical and Diagonal Detail wavelet coefficient.

The following Matlab project contains the source code and Matlab examples used for morlet wavelet kernel. (According to Wikipedia, as of Aug 16 2012) The Morlet wavelet (or Gabor wavelet) is a wavelet composed of a complex exponential (carrier) multiplied by a Gaussian window (envelope).

The following Matlab project contains the source code and Matlab examples used for stockwell transform (s transform). This code computes the Stockwell transform (S-Transform) of a one dimensional series without for loop, thereby making it computationally fast and simple. S-Transform was proposed in 1996. A nice tutorial on S-Transform can be found here: djj.ee.ntu.edu.tw/S_Transform.pdf‎

The following Matlab project contains the source code and Matlab examples used for wavelet packet modulation and demodulation. function y=wpm(x,N,wname); % N-band wavelet packet modulator.

The following Matlab project contains the source code and Matlab examples used for this exercise plots wideband and narrowband speech spectrograms for a user-designated speech file. . The sound spectrogram is one of the most fundamental tools of digital speech processing.

The following Matlab project contains the source code and Matlab examples used for inverse short time fourier transformation (istft) with matlab implementation. The present code is a Matlab function that provides an Inverse Short-Time Fourier Transformation (ISTFT) of a given spectrogram stft(f, t) with time across columns and frequency across rows.

The following Matlab project contains the source code and Matlab examples used for speech spectrogram. Takes a vector containing audio data samples as an input, computes short-time Fourier transform (STFT) and plots the STFT power spectrum trajectories across time.

The following Matlab project contains the source code and Matlab examples used for short time fourier transform. This function enables computation of the short time Fourier transform (STFT) of signals.

The following Matlab project contains the source code and Matlab examples used for short time fourier transform. STFT gives the time information along with frequency information of the signal.

The following Matlab project contains the source code and Matlab examples used for short time fourier transformation (stft) with matlab implementation. The present code is a Matlab function that provides a Short-Time Fourier Transformation (STFT) of a given signal x(n).

The following Matlab project contains the source code and Matlab examples used for stft, mdct and inverses. onset and pitch detection. --------------------------------------   Class name : Signal ---------------------------------- handles basic Signal operations and transforms.

The following Matlab project contains the source code and Matlab examples used for stft, short time fourier transform. To compute STFT three windows are available in this code Rectangular, Hamming and Hanning.

The following Matlab project contains the source code and Matlab examples used for a wavelet domain non parametric statistical approach for image denoising. This is a demo program of the paper J. Tian, L. Chen and L. Ma, "A wavelet-domain non-parametric statistical approach for image denoising," IEICE Electronics Express, Vol. 7, Sep. 2010, pp. 1409-1415.