In this thesis, our aim is to improve deep auto-encoders, an important topic in the deep learning area, which has shown connections to latent feature discovery models in the literature. Our model is inspired by robust principal component analysis, and we build an outlier filter on the top of basic deep auto-encoders. By adding this filter, we can split the input data X into two parts X=L+S, where the L could be better reconstructed by a deep auto-encoder and the S contains the anomalous parts of the original data X. Filtering out the anomalies increases the robustness of the standard auto-encoder, and thus we name our model ``Robust Auto-encoder'. We also propose a novel solver for the robust auto-encoder which alternatively optimizes the reconstruction cost of the deep auto-encoder and the sparsity of outlier filter in pursuit of finding the optimal solution. This solver is inspired by the Alternating Direction Method of Multipliers, Back-propagation and the Alternating Projection method, and we demonstrate the convergence properties of this algorithm and its superior performance in standard image recognition tasks. Last but not least, we apply our model to multiple domains, especially, the cyber-data analysis, where deep models are seldom currently used.

International Telemetering Conference Proceedings / October 26-29, 1992 / Town and Country Hotel and Convention Center, San Diego, California / Pulse Code Modulation (PCM) Encoders are extensively used in instrumentation and telemetry systems. Commercially available encoders are available from several sources and vary in complexity depending on the application. Encoders often include analog signal conditioning, a system clock, and one or more digital input ports. Many of these systems also cost several thousand dollars and the cost goes up when high data accuracy of one or two percent is required. This paper describes a low cost approach which has been used in production telemetry applications with great success and which yields a PCM encoder with data accuracies of better than 2%.

ITC/USA 2005 Conference Proceedings / The Forty-First Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2005 / Riviera Hotel & Convention Center, Las Vegas, Nevada / In this paper, we present an efficient real-time implementation technique for Motion-JPEG2000 video compression and its reconstruction used for a real-time Airborne Video Telemetry System. we utilize Motion JPEG2000 and 256-channel PCM Encoder was used for source coding in the developed system. Especially, in multiplexing and demultiplexing PCM encoded data, we use the continuous bit-stream format of the PCM encoded data so that any de-commutator can use it directly, after demultiplexing. Experimental results show that our proposed technique is a practical and an efficient DSP solution.

International Telemetering Conference Proceedings / October 25-28, 1993 / Riviera Hotel and Convention Center, Las Vegas, Nevada / Pulse Code Modulation (PCM) data systems are used extensively in testing aircraft all over the world. These systems can be tailored to almost any set of measurement requirements using flexible, modular equipment available from several sources. This paper describes a system assembled from readily available components manufactured in the United States that is being used to certify a Russian aircraft flying in The Commonwealth of Independent States. The system features distributed data acquisition, programmable signal conditioning and PCM encoding modules, multi-channel temperature and pressure scanners and real time data displays on board the aircraft. The impact of U.S. export controls and our experience to date is also discussed.

Abstract In this bachelor thesis we focus on how the computer software LabVIEW test is used to a DC-motor through as a hardware incremental encoder and a USB-6009. By using LabVIEW, we can do pulse counting, voltage changing test, voltage signal acquiring and some other observing jobs. This paper is a report of our mechanical operation and calculative work about the DC motor as well. The using DC motor's model number is E-660. Since we cannot find the official data of the DC motor we need, we tried to find some similar motor model to compare. Fortunately, we find some data. Even it is unofficial data from eBay website. However, these data can be seen as reference of our motor. Therefore we can compare the data from the laboratory and the theoretical ones. For the other part of the thesis is about the incremental encoder, the model we used in project is DG 63 KA. We just can find a similar type and it as a reference. The model we find similar to the actual one is DG 60L and through the measurement and comparison, we manage to test the encoder pattern is the same as the reference.     Eventually, we can still do some calculations and analysis with the measured data. We also can summarize some content according to the referential data with the similar DC motor. / 摘要 在此学士论文中我们主要将重点放在LabVIEW电脑软件测试如何通过硬件设备增量式编码器和USB-6009应用到直流电机上。通过使用LabViEW， 我们可以进行脉冲计数，电压变化测试，电压信号采样和其它观测工作。 这份报告同时也包括对直流电机的机械操作和计算工作。我们使用的直流电机型号为E-660。由于我们未能找到我们需要的直流电机的数据，我们尝试去找到一些相似的型号来比较。幸运的是，之后我们找到了一些数据。尽管数据是来自eBay的非官方数据。然而，这些数据可以作为我们电机的参考。因此我们可以使用这些理论数据和我们从实验得出的数据进行比较。 论文的另外部分是关于增量式编码器，我们在论文中使用的编码器型号是DG 63 KA。我们只能找到一些类似型号作为参考。我们找到的和实际使用的类似编码器型号为DG 60L 并且通过测量和比较，我们成功证实编码器的模式和参考中的相同。 最终，我们还对测量的数据进行了计算和分析。我们同时也根据类似的直流电机的参考数据进行总结。

The first topic of this thesis is to carry out a multi-symbol codec (encoder-decoder) design for interfacing variable-length and fixed-length data conversion of H.263. The poor memory efficient of the variable-length can be avoided while its advantages can be reserved. The proposed codec converts variable-length symbols to fixed-length packets which can be decoded parallelly. The basic idea is to encode extra symbols in the redundant bits of the fixed-length packets. This encoding scheme relaxes the intrinsic poor compression rate of the prior fixed-length data codec. The second topic is a synthesizable Verilog code generator for the mentioned multi-symbol codec. According to different requirements and constraints of encoding bit rate, the generator can provide several different kinds of encoding modes by selecting proper parameters. Each codec generated by the generator is synthesizable by thorough simulations.

In this thesis, we take an application of multiple symbol differential detection (MSDD) technique in direct-sequence code division multiple access (CDMA) system. It is well- known that MSDD is an effective noncoherent demodulator which outperform the conventional M-ary differential phase shift keying (MDPSK) in additive white Gaussian noise (AWGN) channel. Take MPSK demodulator into consideration, the performance of MSDD based on noncoherent demodulation approaches the performance of coherent demodulation. However, there is little research about MSDD in frequency-selective fading channel. We are now combining the MSDD and Rake receiver to be the signal demodulator. In conventional, there are two kinds of Rake receivers. One is coherent demodulator. Another is noncoherent demodulator. For coherent demodulation, it needs to have channel estimation at each path. The advantage is that the performance will be improved. On the other hand, the disadvantage is complexity and operation will increase. On the contrast, for noncoherent demodulation, it is the performance degradation and complexity simplification. In this thesis, We suggest a multiple symbol differential detection on Rake receiver for CDMA system. From our computer simulation, only for hard decision, the performance is improved and the improvement is proportional to the number of multipath and the number of the length of multiple symbol. This will not happen in conventional MDPSK. However, from our observation, the improvement of performance is degrading as the number of multipath increase. Thus, we employee the technique of Viterbi decoding differential detection (VDDD) to demodulate the differential sequence. By the property of decision interval, the VDDD can obtain additional improvement.

Due to automation, the world is changing at a rapid pace. Autonomous agents have become more common over the last several years and, as a result, have created a need for improved software to back them up. The most important aspect of this greater software is path prediction, as robots need to be able to decide where to move in the future. In order to accomplish this, a robot must know how to avoid humans, putting frame prediction at the core of many modern day solutions. A popular way to solve this complex problem of frame prediction is Auto Encoder LSTMs. Though there are many implementations of this, at its core, it is a neural network comprised of a series of time sensitive processing blocks that shrink and then grow the data’s dimensions to make a prediction. The idea of using Auto Encoder styled networks to do frame prediction has also been adapted by others to make Temporal Encoders. These neural networks work much like traditional Auto Encoders, in which the data is reduced then expanded back up. These networks attempt to tease out a series of frames, including a predictive frame of the future. The problem with many of these networks is that they take an immense amount of computation power, and time to get them performing at an acceptable level. This thesis presents possible ways of pre-processing input frames to these networks in order to gain performance, in the best case seeing a 360x improvement in accuracy compared to the original models. This thesis also extends the work done with Temporal Encoders to create more precise prediction models, which showed consistent improvements of at least 50% for some metrics. All of the generated models were compared using a simulated data set collected from recordings of ground level viewpoints from Cities: Skylines. These predicted frames were then analyzed using a common perceptual distance metric, that is, Minkowski distance, as well as a custom metric that tracked distinct areas in frames. All of the following was run on a constrained system in order to see the effects of the changes as they pertain to systems with limited hardware access.

ITC/USA 2005 Conference Proceedings / The Forty-First Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2005 / Riviera Hotel & Convention Center, Las Vegas, Nevada / Pulse Code Modulation (PCM) Encoders used in Telemetry Instrumentation systems have traditionally been implemented using sequencer or state-machine based micro-architectures with distributed control and signal acquisition components. This architecture requires the use of many discrete electronic components and custom micro-code programming or state machine development for the control of the systems. The advent of relatively high-speed microcontrollers with embedded signal acquisition subsystems has brought about the ability to implement highly integrated PCM Encoder systems using fewer components and standardized programming methods. This paper will discuss sequencer based PCM encoders for background and then introduce the concept of Microcontroller Based PCM Encoders for Telemetry Instrumentation. Specific design examples will be introduced. Advantages and disadvantages of the two techniques will be discussed.

International Telemetering Conference Proceedings / October 18-21, 2004 / Town & Country Resort, San Diego, California / The Compact Kinetic Energy Missile (CKEM) is currently being developed as the Army’s newest hypervelocity anti-tank missile. The project has recently transitioned from the Science and Technology Objective phase to the Advanced Technology Demonstration phase. Science and technology phase flight testing required the development of a miniature telemetry system for measuring the super sonic flight dynamics of the airframe, as well as, monitoring of the on board flight computer. Design challenges included a small mechanical envelope, limited power budget, numerous analog measurements, computer serial stream processing, and harsh launch and flight dynamics. Two versions of the system were developed in support of the partnership effort between the Army Missile Research, Development, and Engineering Center (AMRDEC) and industry. This paper will focus on the successful design, development, and flight tests of the CKEM telemetry system.