This book is a carefully written one which will enable any student to revise thoroughly before DSP exam. It has an outstanding collection of solved problems like most other Schaum's outlines. This book is to be used as a supplement book to any standard DSP book like Oppenheim or Proakis & Manolakis. This book can make quite a lot of difference in final grades of most of students. So, it is advisable for any UG/PG to revise this book well before exam.

This outline could never stand alone as a DSP tutorial, but it is excellent if you need extra problems to solve or if you need a refresher course in elementary DSP topics. Chapter one starts where any DSP course usually starts - with a quick review of signals and systems. Chapter two is on Fourier analysis and discusses all of the basics including the concept of filtering, interconnection of systems, and finally the discrete time Fourier transform and its properties. Chapter 3 is on sampling, and includes a good discussion of analog to digital conversion and how it can induce aliasing. Next the converse, digital to analog conversion, is discussed as well as discrete time processing of continuous signals and finally sample rate conversion. Chapter 3 is especially useful, since most DSP texts do not go into as much detail on practical A/D and D/A conversion topics as this chapter does. Chapter four finally gets into the z-transform - its definition, its properties, and its inverse. Chapter 5 is about the transform analysis of systems and specifically how the z transform makes the analysis of such systems much simpler than what was done in earlier chapters. Chapter six discusses the discrete Fourier transform, which is a finite-series version of the DTFT, which was discussed in chapter two. Because the Discrete Fourier Transform has a time complexity of NxN, the next chapter discusses its more practical alternative the Fast Fourier Transform, which has an NlogN time complexity. This might seem trivial at first, but if you are filtering 1Kx1K pixel images, the difference becomes significant. Although this chapter is very brief, it does a pretty good job of driving home the main points of the algorithm. Also, it has some pretty good exercises on the FFT, which are usually hard to find in textbooks. Now that all of the groundwork has been laid, chapter eight discusses the implementation of discrete time systems, which is the essence of DSP. Common filter structures are introduced. Chapter 9, the final chapter, is on filter design. Both IIR and FIR filter techniques are introduced. Thus, if you are in an advanced DSP course, this outline will probably be too elementary for you. For first semester students, this should be a very helpful outline for transitioning from the study of linear systems to DSP.

it was delivered in good condition and quite fast. As promised on the site.