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In this paper, we consider a practical signal transmission application with fixed power budget such as radar/sonar. The system is modeled by a linear equation with the assumption that the signal energy per measurement decreases linearly and the noise energy per measurement increases approximately linearly with the increasing of the number of measurements. Thus the SNR decreases quadratically with...
This paper presents our developed two-chip wireless communication system adhering to the IEEE 802.11ad standards with a baseband IC (BBIC) integrated with a low power 60 GHz transceiver SOC (RFIC) and antennas. The novel low power 60GHz RFIC using a sub-harmonic sliding-IF scheme is fully integrated based on low cost SiGe 0.18 um BiCMOS process. The BBIC uses an adaptive time domain equalizer rather...
Statistical estimators of the magnitude-squared spectrum are derived based on the assumption that the magnitude-squared spectrum of the noisy speech signal can be computed as the sum of the (clean) signal and noise magnitude-squared spectra. Maximum a posterior (MAP) and minimum mean square error (MMSE) estimators are derived based on a Gaussian statistical model. The gain function of the MAP estimator...
Both ANFIS (Adaptive Neuro-fuzzy Inference System)and WT(Wavelet Transform) are widely used in the field of signal processing. ANFIS has the adaptive neuro-fuzzy inference ability. WT has the satisfying characteristics of time-frequency localization and multi-resolving power. The differences were studied and compared when they were applied in filtering. In the example, the filtered signal using WT...
This paper presents a novel speech enhancement algorithm that can substantially improve the signal-to-residual spectrum ratio by combining statistical estimators of the spectral magnitude of the speech and noise. The noise spectral magnitude estimator is derived from the speech magnitude estimator, by appropriately transforming the a priori and the a posteriori SNR values. By expressing the signal-to-residual...
The telegraph training device connect to PC with USB interface helps the telegraph operators to exercise. The core of hardware is STC89C52; After being shaped by pretreatment circuit, the key signal is identified to morse code by adaptive algorithm, and then sent back to the computer. Additional noise superimposed with keying sound is to adjust the training difficulty.
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