Elektronik ve Haberleşme Mühendisliği Bölümü Yayın Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/260

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Analog and Digital Filter Design
(Springer Science and Business Media B.V., 2018) Gazi, O.
In this chapter, we will study analog and digital filter design techniques. A filter is nothing but a linear time invariant (LTI) system. Any LTI system can be described using its impulse response. If the impulse response of a LTI system is known, then for any arbitrary input the system output can be calculated by taking the convolution of the impulse response and arbitrary input. This also means that filtering operation is nothing but a convolution operation. And filter design is nothing but finding the impulse response of a linear time invariant system. For this purpose, we can work either in time domain or frequency domain. © Springer Nature Singapore Pte Ltd. 2018.
Channel Coding Theorem
(Springer Science and Business Media Deutschland GmbH, 2018) Gazi, O.; 102896
In this chapter, we will discuss the channel coding theorem in details. Channel coding theorem can be accepted as a milestone in electronic communication field. For this reason, it is very critical for a communication engineer to comprehend the channel coding theorem very well. In many information theory books, or in many lecture notes delivered in classes about information theory, channel coding theorem is very briefly summarized, for this reason, many readers fail to comprehend the details behind the theorem. © 2018, Springer Nature Singapore Pte Ltd.
Concept of Information, Discrete Entropy and Mutual Information
(Springer Science and Business Media Deutschland GmbH, 2018) Gazi, O.; 102896
In this chapter, we will try to explain the concept of information, discrete entropy and mutual information in details. To master on the information theory subjects, the reader should have a knowledge of probability and random variables. For this reason, we suggest to the reader to review the probability and random variables topics before studying the information theory subjects. Continuous entropy and continuous mutual information are very closely related to discrete entropy and discrete mutual information. For this reason, the reader should try to understand very well the fundamental concepts explained in this chapter, then proceed with the other chapters of the book. © 2018, Springer Nature Singapore Pte Ltd.
Entropy for Continuous Random Variables Discrete Channel Capacity, Continuous Channel Capacity
(Springer Science and Business Media Deutschland GmbH, 2018) Gazi, O.; 102896
In this chapter, we will study the entropy concept for continuous random variables. The capacity of both continuous and discrete channels will be inspected in details. The capacity formula for additive white Gaussian channel is to be derived and the factors that affects the capacity of the additive white Gaussian channel will be elaborated. © 2018, Springer Nature Singapore Pte Ltd.
Citation - Scopus: 1
Information theory perspective of polar codes and polar encoding
(Springer Science and Business Media B.V., 2019) Gazi, Orhan; 102896
Polar codes are one of the recently discovered capacity achieving channel codes. What makes the polar codes different from other channel codes is that polar codes are designed mathematically and their performance are mathematically proven. © Springer Nature Singapore Pte Ltd. 2019.
Citation - Scopus: 1
Mathematical Modelling of Polar Codes, Channel Combining and Splitting
(Springer Science and Business Media B.V., 2019) Gazi, O.; 102896
In Chap. 2, we explained the decoding of polar codes in a clear and trivial manner. However, in most of the engineering sciences, it is critical to mathematically formulate the theories or techniques invented. © Springer Nature Singapore Pte Ltd. 2019.
Polarization of Binary Erasure Channels
(Springer Science and Business Media B.V., 2019) Gazi, O.; 102896
In this chapter, we will demonstrate the calculation of split channel capacities when polar codes are employed for binary erasure channels. © Springer Nature Singapore Pte Ltd. 2019.
Polarization Rate and Performance of Polar Codes
(Springer Science and Business Media B.V., 2019) Gazi, O.; 102896
In this chapter, we will mathematically state the channel polarization theorem and prove it. In addition, the performance of polar codes will be mathematically analyzed. © Springer Nature Singapore Pte Ltd. 2019.
Throughput Improvement in Mobile Ad Hoc Networks Using Cognitive Methods
(Crc Press-taylor & Francis Group, 2015) Preveze, Barbaros; Preveze, Barbaros; 17573; Elektrik-Elektronik Mühendisliği
Typical Sequences and Data Compression
(Springer Science and Business Media Deutschland GmbH, 2018) Gazi, O.
In this chapter, we will first provide information about typical sequences the introduce the data compression subject. In fact, the data compression subject is a direct consequence of the typical sequences. For this reason, it is very important to comprehend the concept of typical sequences to understand the data compression phenomenon. © 2018, Springer Nature Singapore Pte Ltd.

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