The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
As Very Large Scale Integrated (VLSI) circuits are shrinking aggressively, interconnect length is becoming longer. So interconnect power consumption due to capacitive coupling is increasing. Again, as operating frequency is increasing and rising time is very short, the inductance effect between interconnects can no longer be ignored. So, capacitive coupling and inductive coupling are both power and...
We propose a new real-time framework which efficiently reconstructs large-scale scenery by accumulating anisotropic point representations in combination with memory efficient representation of point attributes. The reduced memory footprint allows to store additional point properties that represent the accumulated anisotropic noise of the input range data in the reconstructed scene. We propose an efficient...
Work presented in this paper investigates the feasibility of Continuous-Phase Quaternary Frequency Shift Keying (CP-QFSK) with limiter-discriminator detection modem as a viable dual data rate system that can be employed in TDMA short range communications systems. It offers a great deal of spectral efficiency in multi-channel systems, hardware simplicity and robustness to adjacent Channel Interference...
This paper presents a new delta-sigma-based transmitter architecture with quantization noise reduction and coding efficiency enhancement for multi-mode wireless sensor network (WSN) applications. The proposed architecture utilizes a finite impulse response (FIR) filter embedded digital power amplifier (DPA) controlled by the output of a 1-bit second order low pass delta-sigma modulator (LPDSM) for...
Information to be exchanged between two parties needs compression for achieving its efficient transmission. Encoded information gets distorted during its transmission over a channel due to noise. For monitoring and analysis of such noisy traffic of an adversary over communication networks, it is required to find the type of information, whether it is text or speech, then to restore it for further...
The Cognitive Multiple Access Z-Interference Channel consists of a MAC channel that receives interference from an external transmitter. In a previous work we studied this model where both MAC users are cognitive and showed that an encoding scheme based on Dirty Paper coding attains the capacity region for the Gaussian case. In this work we assume that only one MAC user is cognitive and show that the...
We consider a sensor scheduling and remote estimation problem with one sensor and one estimator. At each time step, the sensor makes an observation on the state of a source, and then decides whether to transmit its observation to the estimator or not. The sensor is charged a cost for each transmission. The remote estimator generates a real-time estimate on the state of the source based on the messages...
This paper explores the enhancement by locality constraint to both learning and coding schemes, more specifically, discriminative low-rank dictionary learning and auto-encoder. Previous Fisher discriminative based dictionary learning has led to interesting results by learning more discerning sub-dictionaries. Also, the low-rank regularization term has been introduced to take advantage of the global...
Efficient digital transmission of continuous-amplitude signals requires source coding which comes at the price of unavoidable quantization errors. Thus, even in clear channel conditions, the quality of the decoded signal is limited due to these source coding errors (quantization). Hybrid Digital-Analog (HDA) codes circumvent this limitation by additionally transmitting the source coding error with...
It is well known that separate coding on each carrier is capacity-achieving in parallel Gaussian multiple-input multiple-output (MIMO) broadcast channels in the sense that the sum rate capacity under a sum power constraint is achievable with separate coding if the noise is independent on each carrier. In this paper, we generalize this statement by proving that the optimality of separate coding also...
The article discusses the use of error-correcting codes and methods of their decoding and also analysis of the use of different depths of interleaving for modeling concatenated codes.
In wireless video broadcast system, analog joint source-channel coding (JSCC) has shown advantage compared to conventional separate digital source/channel coding in the aspect that it can avoid cliff effect gracefully. What's more, analog JSCC only needs a little calculations at the encoder and has strong adaptability to different channel condition, which is very suitable to the wireless cooperative...
We present a compound image compression scheme based on the dictionary-based Lempel-Ziv-Markov chain algorithm (LZMA), under the framework of High Efficiency Video Coding (HEVC). Through matching strings from the sliding window dictionary, LZMA exploits the characteristics of the repeated patterns over the text and graphics regions of compound images, and represents them compactly. To obtain high...
This paper investigates two classes of relay channels, the Gaussian relay channel and the Gaussian two-way relay channel, when additive noises at the relay and destination(s) are correlated. Lattice codes are used to achieve the rate region for Compress-and-Forward (relay channel) and Compress/Decode-and-Forward (two-way relay channel). Numerical calculations show that there exist particular values...
Optimal signaling is studied over a power-limited Gaussian channel with intermittent feedback, where a random mechanism—whose outcome is unknown to the receiver—determines whether or not the output symbol is fed back to the encoder. If the output symbols are fed back with probability smaller than one half, then even the two-messages error probability cannot decay faster than exponentially in the blocklength...
This work investigates the joint design of fronthaul compression and precoding for the downlink of Cloud Radio Access Networks (C-RANs). The main goal is that of bringing insight into an aspect of the optimal functional split between Radio Units (RUs) and Central Unit (CU), namely: where should precoding be performed? Unlike previous works, we tackle this issue for a practical scenario with block-ergodic...
The asynchronous-communication model is studied by means of i.i.d. codes and ML decoding. A random-coding bound to the joint probability of decoding and synchronization error is determined and used to recover the region of achievable information rates and asynchrony exponents.
It is well-known that feedback does not increase the capacity of point-to-point memoryless channels, however, its effect in secure communications is not fully understood yet. In this work, an achievable scheme for the wiretap channel with generalized feedback -based on joint source-channel coding- is presented. This scheme recovers previous results, thus it can be seen as a generalization and unification...
Motivated by recent high bandwidth communication systems, Inter-Symbol Interference (ISI) channels with 1-bit quantized output are considered under an average-power-constrained continuous input. While the exact capacity is difficult to characterize, an approximation that matches with the exact channel output up to a probability of error is provided. The approximation does not have additive noise,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.