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We propose a new noise estimation method using only the current frame of noisy speech. The proposed method utilizes an inverse comb filter for noisy speech to suppress the power of speech, and estimates the noise from the resulting spectrum. It is shown by experiments that the spectral subtraction combined with the proposed noise estimation method is superior to the conventional speech enhancement...
Blind separation of mixtures has been achieved by approximate joint diagonalization (AJD) approaches. This paper presents an approach for overdetermined blind source separation (BSS) using AJD. The approach is based on an alternative minimization of the indirect and direct least-squares criteria to the diagonal matrices in the first phase and to the mixing matrix in the second phase, respectively...
This work presents an embedded computing framework for the analysis and design of large scale algorithms utilized in the estimation of acoustic doubly dispersive, randomly time-variant, underwater communication channels. Channel estimation results are used, in turn, in the proposed framework for the development of efficient high performance algorithms, based on fast Fourier transformations, for the...
This work addresses the problem of estimating the accuracy of a certain class of digital signal processing algorithms, known as linear signal transforms, when implemented on field programmable gate array (FPGA) hardware computational structure (HCS) units. A solution is provided through the formulation of a hardware development framework which uses complex multipliers and complex addition units as...
This paper discusses an analytical method for performance estimation of multi-stage transimpedance amplifier (TIA). For high speed and energy efficient optical communication, multi-stage TIA composed of pre-amplifier (PA) and Cherry-Hooper amplifier (CHA) are commonly used. However, it is not clear how to decide design parameters of PA and CHA. Additionally, the number of stages is also a design parameter...
In this paper, a new compressive sensing (CS)-based direction of arrival (DOA) estimation technique using the Dantzig selector is proposed. The proposed scheme can identify more source signals than the number of sensors used, without requiring an a priori knowledge of the number of source signals to be estimated and without any constraint or assumption about the nature of the signal sources using...
Attitude is an important consideration for aircraft due to its necessity for control and other purposes such as remote sensing. Sensor fusion techniques are a popular approach to attitude estimation since low-cost and lightweight sensors such as inertial sensors can be utilized. However, an additional source of information that has been mostly overlooked is the control inputs. This information is...
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