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Bistatic Radar System Analysis And Software Development
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Broadband Counter-wound Spiral Antenna for Subsurface Radar Applications
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Classification and Analysis of Low Probability of Intercept Radar Signals Using Image Processing
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Student Manual for Digital Signal Processing using MATLAB
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Digital Signal Processing with Student CD ROM
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Understanding Digital Signal Processing (3rd Edition)
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Physical Audio Signal Processing: for Virtual Musical Instruments and Digital Audio Effects
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Ground Radar Systems of the Luftwaffe 1939-1945: (Schiffer Military/Aviation History)
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Schaums Outline of Digital Signal Processing, 2nd Edition (Schaum's Outline Series)
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Introduction to Radar Systems
Bistatic radar has some properties that are distinctly different from monostatic radar. Recently bistatic radar has received attention for its potential to detect stealth targets due to enhanced target forward scatter. Furthermore, the feasibility of hitchhiker radar has been demonstrated, which allows passive radar receivers to detect and track targets. This thesis developed a software simulation package in Matlab that provides a convenient tool to examine the bistatic radar design parameters and predict system performance. The software model is suitable for instructional purposes due to its user-friendly graphical user interface. Several bistatic radar applications were used to illustrate the software features, and their results were analyzed and discussed.
Subsurface radar, also known as ground-penetrating radar, is increasingly being used for the detection and location of buried objects such as mines and structures that are found within the upper regions of the earth’s surface. The thesis gives a review of the work done to date in this area, laying emphasis on the possible antenna designs to match the range of intended applications. An overall design strategy is outlined, together with a more detailed treatment of the ground-penetrating radar subsystems and topics which are relevant to effective subsurface radar operation. These include the dielectric properties of earth materials, the choice of frequency of operation, as well as the design and construction of suitable antennas. Finally, a new antenna structure called the counter-wound spiral antenna, which is suitable for subsurface radar applications, is examined. The counter-wound spiral antenna has a broad bandwidth and a linear polarization with a controllable plane of polarization from a planar geometry. It has an electronically steerable plane of polarization. This unique property offers a reduction in antenna polarization loss and allows the extraction of maximum information from the target scattered echo.
The characteristic of low probability of intercept (LPI) radar makes it difficult to intercept with conventional signal intelligence methods so new interception methods need to be devel-oped. This thesis initially describes a simulation of a polytime phase–coded LPI signal. The thesis then introduces a method for classification of LPI radar signals. The method utilizes a parallel tree structure with three separate “branches” to exploit the image representation formed by three separate detection methods. Each detection method output is pre–processed and fea-tures are extracted using image processing. After processing the images, they are each fed into three separate neural networks to be classified. The classification output of each neural network is then combined and fed into a fourth neural network performing the final classification. The outcome of testing shows only 53%, which might be the result of the image representation of the detection methods not being distinct enough, the pre –processing/feature extraction not be-ing able to extract relevant information or the neural networks not being properly trained. The thesis concludes with a brief discussion about a suitable method for image processing to extract significant parameters from a LPI signal.
Based on Sanjit Mitra’s extensive teaching and research experience, Digital Signal Processing, A Computer Based Approach, fourth edition, is written with the reader in mind. A key feature of this book is the extensive use of MATLAB-based examples that illustrate the program's powerful capability to solve signal processing problems. The book is intended for a course on digital signal processing for seniors or first-year graduate students. This highly popular book introduces the tools used in the analysis and design of discrete-time systems for signal processing. A number of changes have been made to the book’s content, based on reviewer and student comments.
Amazon.com’s Top-Selling DSP Book for Seven Straight Years—Now Fully Updated!
This book describes signal-processing models and methods that are used in constructing virtual musical instruments and audio effects. Specific topics considered include delay effects such as phasing, flanging, the Leslie effect, and artificial reverberation; virtual acoustic musical instruments such as guitars, pianos, bowed strings, woodwinds, and brasses; and various component technologies such as digital waveguide modeling, wave digital modeling, commuted synthesis, resonator factoring, feedback delay networks, digital interpolation, Doppler simulation, nonlinear elements, finite difference schemes, passive signal processing, and associated software.
This book gives descriptions and a photographic account of the ground radar systems of the Luftwaffe used during WWII.
Since the publication of the second edition of "Introduction to Radar Systems," there has been continual development of new radar capabilities and continual improvements to the technology and practice of radar. This growth has necessitated the addition and updating of the following topics for the third edition: digital technology, automatic detection and tracking, doppler technology, airborne radar, and target recognition. The topic coverage is one of the great strengths of the text. In addition to a thorough revision of topics, and deletion of obsolete material, the author has added end-of-chapter problems to enhance the "teachability" of this classic book in the classroom, as well as for self-study for practicing engineers. 














