This command creates a vector \"Myx\" of 30000 \"mono\" samples with 16-bits/sam

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This command creates a vector "Myx" of 30000 "mono" samples with 16-bits/sample. EXERCISE 1: You MUST play the recording and listen to the speech by using the command "soundsc(Myx,8000.16)". If not audible, re-record by speaking louder near the microphone. STEM plot "Myx" showing variation in energy due to voiced and un-voiced syllables Adding Random Noiso Addition of random noise is one of the impairments faced by most communication systems. Let us observe the effects of additive white noise on the quality of speech. MATLAB has a function "rand' that can generate random white noise. These are random samples uniformly distributed between 0 and +1 with a mean of 0.5 and variance (or noise power) of 1/12. Type the following to generate and add zero mean, uniformly distributed noise to your recorded speech: EXERCISE 2: Play the "noisy_speech" signal using the command "soundsc" Save the noisy_speech into a '.wav' file using the command "audiowrite" so that you may re-use it later. Plot Myx. noise, and noisy_speech against time on the same figure. Such a plot can indicate whether added no

Explanation / Answer

activecontour Segment image into foreground and background using active contour imsegfmm Binary image segmentation using Fast Marching Method imseggeodesic Segment image into two or three regions using geodesic distance-based color segmentation gradientweight Calculate weights for image pixels based on image gradient graydiffweight Calculate weights for image pixels based on grayscale intensity difference grayconnected Select contiguous image region with similar gray values graythresh Global image threshold using Otsu's method multithresh Multilevel image thresholds using Otsu's method otsuthresh Global histogram threshold using Otsu's method adaptthresh Adaptive image threshold using local first-order statistics boundarymask Find region boundaries of segmentation superpixels 2-D superpixel oversegmentation of images imoverlay Burn binary mask into 2-D image label2idx Convert label matrix to cell array of linear indices

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