Get Digital Signal and Image Processing PDF

By Tamal Bose

ISBN-10: 0471327271

ISBN-13: 9780471327271

Introducing the 1st textual content to combine the themes of electronic sign processing (DSP), electronic photograph processing (DIP), and adaptive sign processing (ASP)! electronic sign and snapshot Processing is helping scholars boost a well-rounded realizing of those key parts by way of concentrating on basic strategies, mathematical foundations, and complex algorithms.
The presentation is mathematically thorough with transparent reasons, quite a few examples, illustrations, and functions. as well as difficulties, MATLAB-based desktop tasks are assigned on the finish of every bankruptcy, making this ebook excellent for laboratory-based classes.

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Digital Signal and Image Processing - download pdf or read online

Introducing the 1st textual content to combine the themes of electronic sign processing (DSP), electronic photo processing (DIP), and adaptive sign processing (ASP)! electronic sign and snapshot Processing is helping scholars strengthen a well-rounded realizing of those key components via concentrating on primary strategies, mathematical foundations, and complex algorithms.

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We begin this section with the fundamental 2-D discrete sequences. 2-D Sequences The 2-0 unit impulse is defined as 0, otherwise. This function is depicted in Fig. Recall from an earlier section that since there is no number in parentheses next to the dot, the amplitude is unityeThsfunction is a direct extension of the 1-D unit impulse. We will denote these with 2d as a suffiu. For the impulse function, we define 0, otherwise. 8 2-0 Extensions 4 47 and These functions are shown in Fig. 34(b)and (c),respectively The 2 - 0 unit step is defined as +l, n2) = 1, nl r 0, nz r 0 0, otherwise.

Let us rewrite the above equation as Figure 127 Example on filter interconnections. 28 FIR filter structure. 36 & Chapter 1. Fundamental Concepts This fits the definition of convolution, and so we have The output of an FIR filter can therefore be calculated by convolving the input sequence with the sequence of filter coefficients. We also know from the previous section that the output of a linear system is the convolution of its input with the impulse response. Therefore, the sequence of filter coefficients must be the impulse response.

5 Characterization of LSI Systems 4 27 The operator % does not operate on x(m) because it is not a function of n. From the The above therefore becomes definition of impulse response, h(n)= %{S(n)]. 40). 41) can be obtained by a simple substitution of variables in the above equation. Now that the convolution formula is established, we proceed to explain how to evaluate it for two given sequences. 41)can be used. 40)for explanation purposes. Then the product of x(m)and h(n-m ) is summed from m = -m to m.

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